ALGORITHMS For Beginners

Can you actually explain why one solution is faster than another — or do you just know that “some things are faster”?

If your understanding of data structures and algorithms comes from memorized flashcards or half-followed tutorials, it falls apart the moment a problem doesn’t match the pattern you crammed. That’s what fails people in interviews and in real engineering work: not a lack of information, but a lack of real understanding of why an algorithm works, not just that it works. This book rebuilds that foundation from the ground up, taking you from “what is an algorithm” to designing your own solutions with confidence.

Inside, you’ll learn:

• How to reason about efficiency with Big O notation — measuring growth, not just raw speed
• The core data structures (arrays, linked lists, hash tables, trees, heaps, graphs) and exactly when each one is the right tool
• How searching, sorting, and recursion actually work under the hood, including what’s really happening on the call stack
• Algorithmic strategies like divide and conquer, greedy algorithms, dynamic programming, and backtracking — explained through the logic, not just the code
• Graph algorithms (BFS, DFS, Dijkstra’s) and pattern-recognition techniques you can apply to problems you’ve never seen before

By the end, you’ll have built a complete route-planning system as your capstone project and developed a framework for recognizing which technique applies to any new problem — the exact skill that coding interviews are designed to test.

Stop memorizing solutions you don’t understand. Get your copy today and start thinking like a computer scientist.